Jobs at Java Kai

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer experiences.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary Agentic AI Platform to transform banking services. The position involves designing north-star platform architectures, standardizing agentic workflows using frameworks like LangGraph and AutoGen, and developing a comprehensive GenAI SDK to accelerate production timelines. Key responsibilities include implementing trust and safety guardrails, optimizing orchestration for performance and cost, and mentoring engineering teams while representing the company at industry conferences. The role appeals to candidates seeking to lead breakthrough applied science initiatives in a collaborative environment where responsible AI drives real customer impact. The position is based in major US hubs including McLean, Cambridge, New York, and San Francisco.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to shape the technical vision for foundational AI. The role involves collaborating with cross-functional partners to deliver high-impact products and provides a dynamic environment for engineers who thrive on solving undefined challenges.

This lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, including model training, similarity search, and guardrails, while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance, latency, and cost, as well as contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to work on high-impact problems in a collaborative environment that values responsible AI. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and collaborating with cross-functional partners to deliver innovative product experiences. This position appeals to technical leaders who thrive on solving undefined problems and shaping the long-term technical vision for AI infrastructure. The role offers the opportunity to work with cutting-edge open-source technologies and a collaborative culture dedicated to bringing humanity and simplicity to financial services.

The Sr. Distinguished AI Engineer role at Capital One is a senior leadership position within the Intelligent Foundations and Experiences team, focused on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and contributing to the long-term technical vision for foundational AI. The position appeals to candidates who thrive on solving undefined problems and applying cutting-edge research to real-world products. It offers the opportunity to work with a diverse stack of open-source and cloud technologies while influencing cross-functional stakeholders. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

The Senior Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined problems while shaping the long-term technical vision for foundational AI. This opportunity appeals to those seeking to apply cutting-edge research in a high-impact environment, offering the chance to work on systems that serve millions of customers with a focus on innovation and ethical AI deployment.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for enterprise AI. The role offers the chance to work on complex, undefined problems that directly enhance customer experiences while contributing to a culture of innovation and technical excellence.

The Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and establishing governance and observability frameworks. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. This opportunity appeals to candidates seeking to lead technical vision in a collaborative environment where emerging AI capabilities are applied to solve complex, undefined problems. The role offers the chance to work with world-class talent on systems that directly enhance customer experiences while maintaining a strong commitment to ethical AI practices.

This distinguished AI engineering role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training and large language model inference, while optimizing performance for cost and latency. Engineers collaborate with cross-functional partners to integrate state-of-the-art technologies like PyTorch and vector databases into production environments. The role appeals to those seeking to lead technical vision and mentor teams while solving undefined, high-impact problems in a culture that values innovation and ethical AI. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platforms, including agentic systems and LLM infrastructure. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position requires leveraging technologies like PyTorch and AWS to drive technical vision and roadmap development. The role is appealing for its opportunity to apply cutting-edge research to transform banking, offering a collaborative environment where engineers can solve undefined problems and deliver high-impact solutions to millions of customers.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging open-source technologies, and shaping the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while working in a culture that values innovation, technical excellence, and ethical AI deployment. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation and ethical AI. The position offers the opportunity to work with a broad stack of open-source and cloud technologies while driving high-impact solutions for millions of customers.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to transform banking. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a collaborative environment dedicated to responsible and reliable AI.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse cross-functional team.

The Vice President, Solution Architect role within Marketing Engineering focuses on designing and managing scalable, high-availability integrations across marketing and SaaS platforms. Key responsibilities include leading the development of microservices and AI-driven solutions, overseeing Martech application lifecycles, and driving CI/CD strategies using Agile methodologies. The position requires mentoring engineering teams, collaborating with business leaders to define architecture roadmaps, and ensuring compliance with security standards. This opportunity appeals to candidates seeking a hands-on leadership position in a culture that values continuous learning and innovation in Gen AI. The work arrangement offers flexibility to work remotely near a hub or from an office, with occasional travel required for meetings and training.

The Principal Electrical Production Team Lead role is based onsite in Tucson, Arizona, within Raytheon's Land & Shipboard Effector Guidance Systems department. This position involves leading electrical development for design verification, qualification, and transition to production activities while providing technical mentorship to junior engineers. Key responsibilities include collaborating with cross-functional teams on system integration, managing risk and supplier engagement, and ensuring compliance with rigorous defense standards. The role appeals to experienced engineers seeking to contribute to national security missions with a team that values safety, innovation, and work-life balance. Candidates must hold an active U.S. government security clearance and possess extensive experience in electrical engineering, production processes, and missile hardware troubleshooting. The position offers opportunities for professional growth within a collaborative culture that supports complex, meaningful engineering challenges.

The Principal Electrical Production Team Lead role is based onsite in Tucson, Arizona, within the Land & Shipboard Effector Guidance Systems department at Raytheon. This position leads electrical development for design verification, qualification, and transition to production activities while providing technical mentorship to junior engineers. Key responsibilities include collaborating with cross-functional teams on system integration, managing design reviews and risk mitigation, and ensuring compliance with rigorous defense standards. The role appeals to experienced engineers seeking to contribute to national security missions with a team that values safety, innovation, and work-life balance. Candidates must hold an active U.S. government security clearance and possess extensive experience in electrical engineering, production processes, and missile hardware troubleshooting. The position offers a structured work schedule with opportunities for professional growth and relocation support.

This Distinguished Engineer role serves as a technical leadership position within NetApp's Cloud business unit, focusing on building and scaling architecture for mission-critical, multi-cloud data infrastructure. Key responsibilities include designing fault-tolerant, high-availability control planes, architecting modern CI/CD and QA frameworks for large engineering teams, and solving complex distributed system challenges. The position requires hands-on coding and mentoring of senior engineers to drive engineering excellence and innovation. The role appeals to those seeking to work on cutting-edge open-source technologies and contribute to the transformation of enterprise data strategies. It offers a hybrid work arrangement that balances in-office collaboration with flexibility, set within a culture that rewards bold thinking, ownership, and professional growth.

This Distinguished Engineer role serves as a technical leadership position within NetApp's Cloud business unit, focusing on designing and scaling architecture for mission-critical, multi-cloud data infrastructure. Key responsibilities include architecting fault-tolerant, high-availability control planes, building modern CI/CD and QA frameworks for hundreds of developers, and solving complex engineering challenges in distributed systems. The position requires hands-on coding and mentoring senior engineers while driving innovation in areas like AI and multicloud solutions. The role appeals to those seeking to work with open-source technologies and major cloud providers in a culture that values bold thinking, ownership, and mold-breaking solutions. NetApp offers a hybrid work environment that balances in-person collaboration with flexibility, supporting professional growth through opportunities to contribute to patents and shape the future of intelligent data infrastructure.